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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 201 · 40 questions
TalentJR

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

NameDateTime takenScore ___ / 40
  1. 1.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) spotting spam (b) composing a new tune (c) unlocking with a face (d) reading number plates
  3. 3.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  4. 4.Which of these is the model? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) recorded spoken words
  5. 5.Which of these is generative AI (it makes something new)? (a) spotting spam (b) predicting rain (c) reading number plates (d) inventing a recipe
  6. 6.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) only one kind of example (d) testing on training data
  7. 7.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  8. 8.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI learns from data (d) AI knows everything
  10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  11. 11.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  12. 12.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  13. 13.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  14. 14.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
  15. 15.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  16. 16.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
  17. 17.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  18. 18.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
  19. 19.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) 500 labelled leaf photos (d) typing a new spoken word
  20. 20.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) copies of one photo (d) wrong labels
  21. 21.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
  22. 22.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  23. 23.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) spotting spam (c) writing quiz questions (d) sorting photos by face
  24. 24.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  25. 25.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  26. 26.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  27. 27.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI has real feelings (d) AI can make up facts
  28. 28.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
  29. 29.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) unlocking with a face (c) writing a new poem (d) sorting photos by face
  30. 30.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  31. 31.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) text (c) an image
  32. 32.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  33. 33.True or false: “use one group only” adds to bias. (a) False (b) True
  34. 34.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
  35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
  36. 36.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  37. 37.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  39. 39.True or false: “learns from examples” describes how AI works. (a) False (b) True
  40. 40.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a hallucination (d) a summary

Answer key

  1. False
  2. composing a new tune
  3. True
  4. what training builds
  5. inventing a recipe
  6. checking labels twice
  7. True
  8. False
  9. AI knows everything
  10. reduces bias
  11. not a real check
  12. 500 labelled leaf photos
  13. a myth
  14. True
  15. a fact
  16. False
  17. False
  18. it learns from examples
  19. typing a new spoken word
  20. many varied examples
  21. False
  22. people
  23. writing quiz questions
  24. one-sided data
  25. a normal program
  26. makes something new
  27. AI can make up facts
  28. artificial intelligence
  29. writing a new poem
  30. not a real check
  31. an image
  32. True
  33. True
  34. False
  35. a prediction
  36. a normal program
  37. no
  38. training data
  39. True
  40. a hallucination

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